Sample Size using PASS software from NCSS

This course shows you how to make power and sample size determination for experiments, surveys and long-term trials using PASS (Power Analysis and Sample Size) software from NCSS.

Anyone who needs to design or analyze statistical studies, or make decisions concerning the number of subjects.

Sample Size using PASS software from NCSS

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Sample Size using PASS software from NCSS

This course will offer an introduction to sample size and power analysis using PASS (Power Analysis and Sample Size) software from NCSS, and will show how to use it simply and effectively to plan the appropriate sample size for a study. The power of a study (the study's ability to establish that a treatment effect exists) is determined by such factors as the magnitude of the treatment effect, the sample size, alpha (the level of statistical significance required), and (for survival studies) the study duration.

• Survey of Statistics for Beginners, or Introduction to Statistics for Beginners
• Introduction to Statistics 1: Sampling and Inference
• Introduction to Statistics 2: Working with Bivariate Data)

If you are unclear as to whether you have mastered the requirements, test yourself with these placement exams here.

For those working in the life sciences, Biostatistics 1 may also be helpful.

SESSION 1: Introduction to PASS software from NCSS

• Review hypothesis testing and confidence interval construction
• Introduction to sample size determination and power for one mean and two means (variances assumed known)
• Retrospective power and labeling of effect sizes
• Introduction to PASS

SESSION 2: Power and Sample Size for Means and Proportion

• Sample size determination for one and two means with variances unknown and for confidence intervals
• Independent samples and paired samples
• One proportion and two proportions
• One variance
• Considerations in determining sample size: power, cost of sampling, ethics

SESSION 3: Power and Sample Size for ANOVA & Regression

• Sample size determination for most-often used statistical methods:
  • Analysis of Variance
  • Linear Regression
  • Logistic Regression
• Commonly used Experimental Designs, plus Repeated Measures designs

SESSION 4: Miscellaneous Topics

• Microarrays
• Clinical Trials
• Quality Improvement Methods
• Nonparametric Tests
• Equivalence Tests
• Multivariate Methods
• Survival Analysis and Reliability

This course takes place over the internet, at statistics.com for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and you will receive individual feedback on your homework answers.

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

All necessary materials will be provided online.

Participants should have access to PASS software by NCSS. For those needing software, a trial will be made available for the duration of the course.

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